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Operational Data Analyst Jobs (NOW HIRING)

Glow Networks

Operational Data Analyst

Dallas, TX

Operational Data Analyst Location: Denver, CO Duration: 10 Months Qualifications: • 8+ years of IT project-based team experience. • 5+ years of experience working with enterprise-level projects.

Roadshow Concepts

Operations Data Analyst

Tampa, FL · Remote

$70K - $80K/yr

These events run weekly across multiple markets and require consistent tracking, evaluation, and performance reporting to ensure operational success. We are hiring an Operations Data Analyst to own ...

Roadshow Concepts

Operations Data Analyst

Tampa, FL · Remote

$70K - $80K/yr

These events run weekly across multiple markets and require consistent tracking, evaluation, and performance reporting to ensure operational success. We are hiring an Operations Data Analyst to own ...

Lantern

Operations Data Analyst

Dallas, TX

You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team ...

Lantern

Operations Data Analyst

Dallas, TX · On-site +1

You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team ...

Autoroboto

Data Analysts

Mountain View, CA · On-site

The Data Analyst will collect, validate, and analyze operational data; apply quantitative and statistical methods to define operational problems and evaluate alternatives; develop and test analytical ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

About this Position Join a fast-paced Product Operations team focused on improving product ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Premier Staffing Solution

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... Up to 25% Capable of thriving on turning operational data into actionable insights? Do you enjoy ...

Premier Staffing Solution

OR

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... Up to 25% Capable of thriving on turning operational data into actionable insights? Do you enjoy ...

hajoca

Operations Data Analyst

San Jose, CA · On-site

The Operations Data Analyst is responsible for extracting valuable insights from datasets, driving data-driven decision-making, and contributing to the overall growth and success of the business.

hajoca

Operations Data Analyst

San Jose, CA · On-site

The Operations Data Analyst is responsible for extracting valuable insights from datasets, driving data-driven decision-making, and contributing to the overall growth and success of the business.

360 IT Professionals

DATA ANALYST

Dallas, TX · On-site

The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create ...

CreditOne

Operations Data Analyst

Las Vegas, NV · On-site

The Operations Data Analyst I will focus on improving and maintaining customer service standards ... Prepare operational reports by collecting, interpreting, evaluating, and summarizing information ...

Credit One Bank

Operations Data Analyst

Las Vegas, NV

The Operations Data Analyst I will focus on improving and maintaining customer service standards ... Prepare operational reports by collecting, interpreting, evaluating, and summarizing information ...

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Operational Data Analyst information

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How much do operational data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for operational data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

Is 40 too late for data science?

For an Operational Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What is an operations data analyst?

An operations data analyst is a professional who collects, analyzes, and interprets data related to business operations to improve efficiency and decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with management to identify trends and optimize processes.

What jobs pay 200,000 a year in the USA?

Operational Data Analysts typically do not earn $200,000 annually; however, senior roles such as Data Science Managers, Data Architects, or Analytics Directors can reach or exceed this salary level, especially with extensive experience, advanced skills in SQL, Python, or machine learning, and working in large organizations or consulting firms.

What is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

Is AI replacing data analysts?

Operational Data Analysts use AI tools to automate routine data processing and enhance insights, but AI is not replacing the need for human analysts. Instead, AI complements their skills by handling repetitive tasks, allowing analysts to focus on complex analysis, interpretation, and strategic decision-making. Proficiency in data management, statistical tools, and AI applications remains essential for the role.

What are the key skills and qualifications needed to thrive as an Operational Data Analyst, and why are they important?

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
More about Operational Data Analyst jobs
What cities are hiring for Operational Data Analyst jobs? Cities with the most Operational Data Analyst job openings:
What states have the most Operational Data Analyst jobs? States with the most job openings for Operational Data Analyst jobs include:
What job categories do people searching Operational Data Analyst jobs look for? The top searched job categories for Operational Data Analyst jobs are:
Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Operational Data Analyst

Operational Data Analyst

Glow Networks

Dallas, TX

Full-time

Posted 26 days ago

Job description

Job Description: Operational Data Analyst
Location: Denver, CO
Duration: 10 Months
Qualifications:
• 8+ years of IT project-based team experience.
• 5+ years of experience working with enterprise-level projects. Cable industry experience preferred.
• Experience in data mastering tasks such as source identification, data collection, data transformation, normalization, rule administration, error detection and correction, data consolidation, data storage, data distribution, data classification, taxonomy services, data enrichment, hierarchy management, business semantics management and data governance.
• Experience with Jira and Remedy (or comparable) required. JQL experience is preferred.
• Experience with Confluence, creating pages & content preferred.
• Experience with Smartsheet, Lucidchart and Excel.
• Demonstrated experience in creating informative and consumable metrics communication content.
• Demonstrated process documentation skills such as flow charts, swim lane diagrams, sequence diagrams and data flow diagrams.
• Attention to detail.
• Obsession with achieving and maintaining clean and accurate data.
• Continuously seeks opportunities to improve features, performance, and usability of the metrics generation/distribution system and processes used by the team.
• Strong logical and analytic skills.
• Ability to work effectively in a matrixed environment and deal effectively with ambiguity.
• Exceptional people skills. Comfortable driving, coaching and working with a diverse group of people and serve as arbitrator when conflicts arise.
• Excellent written and verbal communication skills.
Responsibilities:
• Assist the team in the collection, processing and distribution of the data, information and knowledge necessary to coordinate service deployment into the company's private and public cloud infrastructure.
• Use analytical skills to turn data into information and information into knowledge is fundamental to this position.
• Support the team in the design and implementation of process improvements and introduction/operation of automated metrics generation.
The automation environment is a combination of a proprietary collection of applications, Jira, Smartsheet (being deprecated), Remedy and Excel documented in Lucidchart, PowerPoint and/or Word.
Easily accessible and understandable products such as status dashboards, data integrations, workflows, delivery metrics,
customer satisfaction reporting and efficacy reports for both near-real-time and trending-over-time intervals are the end goal.
• Operate automated report dissemination and notifications.
• Troubleshoot and escalate issues related to process and technology.
• Establishment of an effective feedback plan for the tools and processes used by the team.
• Visualize and document the execution of complex business processes.
• Perform data collection, analysis, and validation.
• Respond to data inquiries from various groups within an organization.
• Documents reporting requirements and processes and validates data components as required.

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